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© 2021

Fuzzy Decision-Making Methods Based on Prospect Theory and Its Application in Venture Capital

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  • 498 Downloads

Part of the Uncertainty and Operations Research book series (UOR)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Xiaoli Tian, Zeshui Xu
    Pages 1-15
  3. Xiaoli Tian, Zeshui Xu
    Pages 17-29
  4. Xiaoli Tian, Zeshui Xu
    Pages 111-119
  5. Xiaoli Tian, Zeshui Xu
    Pages 149-152

About this book

Introduction

This book gives a thorough and systematic introduction to the latest research results about fuzzy decision-making method based on prospect theory. It includes eight chapters: Introduction, Intuitionistic fuzzy MADM based on prospect theory, QUALIFLEX based on prospect theory with probabilistic linguistic information, Group PROMETHEE based on prospect theory with hesitant fuzzy linguistic information, Prospect consensus with probabilistic hesitant fuzzy preference information, Improved TODIM based on prospect theory and the improved TODIM with probabilistic hesitant fuzzy information, etc. This book is suitable for the researchers in the fields of fuzzy mathematics, operations research, behavioral science, management science and engineering, etc. It is also useful as a textbook for postgraduate and senior-year undergraduate students of the relevant professional institutions of higher learning.

Keywords

Prospect Theory Multi-Attributes Decision-Making Methods Fuzzy Sets Linguistic Term Sets Consensus Model

Authors and affiliations

  1. 1.Liulin CampusSouthwestern University of Finance and EconomicsChengduChina
  2. 2.Business SchoolSichuan UniversityChengduChina

About the authors

Xiaoli Tian is Associate Professor of the School of Business Administration in Southwestern University of Finance and Economics, Chengdu, China. She was Academic Visitor with the Department of Computer Science and Artificial Intelligence, University of Granada, Spain, in 2017. She has published more than 15 peer-reviewed papers, many in high-quality international journals including Knowledge-Based Systems, Applied Soft Computing, Technological and Economic Development of Economy, Technological Forecasting and Social Change, etc. One of her papers has been selected as ESI Highly Cited Papers. Her current research interest includes large-scale consensus, group decision making, decision making with bounded rationality, and multiple attributes decision making under uncertainty. Dr. Tian serves as a reviewer for more than 10 international journals.

Zeshui Xu is Distinguished Young Scholar of the National Natural Science Foundation of China and Chang Jiang Scholars of the Ministry of Education of China. He is currently Professor with the Business School, Sichuan University, Chengdu, China. He has been elected as Academician of IASCYS (International academy for systems and cybernetic sciences), Fellow of IEEE (Institute of Electrical and Electronics Engineers), Fellow of IFSA (International Fuzzy Systems Association), Fellow of RSA (Royal Society of Arts), Fellow of IET (Institution of Engineering and Technology), Fellow of BCS (British Computer Society), Fellow of IAAM (International Association of Advanced Materials), Fellow of VEBLEO, and ranked 431th among World’s Top 100,000 Scientists in 2019. He has contributed more than 600 SCI/SSCI articles to professional journals, and is among the world’s top 1% most highly cited researchers with about 62,000 citations, his h-index is 123. He is currently the Associate Editors of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Access, Information Sciences, Fuzzy Optimization and Decision Making, Journal of the Operational Research Socitey, International Journal of Systems Science, Artificial Intelligence Review, etc. His current research interests include decision making, information fusion, data analysis, fuzzy systems and applications.

Bibliographic information

  • Book Title Fuzzy Decision-Making Methods Based on Prospect Theory and Its Application in Venture Capital
  • Authors Xiaoli Tian
    Zeshui Xu
  • Series Title Uncertainty and Operations Research
  • Series Abbreviated Title Uncertainty and Operations Research
  • DOI https://doi.org/10.1007/978-981-16-0243-6
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
  • Publisher Name Springer, Singapore
  • eBook Packages Business and Management Business and Management (R0)
  • Hardcover ISBN 978-981-16-0242-9
  • Softcover ISBN 978-981-16-0245-0
  • eBook ISBN 978-981-16-0243-6
  • Series ISSN 2195-996X
  • Series E-ISSN 2195-9978
  • Edition Number 1
  • Number of Pages XI, 152
  • Number of Illustrations 3 b/w illustrations, 26 illustrations in colour
  • Topics Operations Research/Decision Theory
    Econometrics
  • Buy this book on publisher's site
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